3f88b6659ee609857724cd2170f8ad9f76d353fd,ann_benchmarks/datasets.py,,get_manifest,#Any#,51

Before Change

        with open(local_fn + ".yaml") as mf:
            y = yaml.load(mf)
            if "dataset" in y:
                manifest.update(y["dataset"])
            if "test_size" in y:
                manifest["test_size"] = int(y["test_size"])
    return manifest

After Change

    if os.path.exists(local_fn + ".yaml"):
        with open(local_fn + ".yaml") as mf:
            r = yaml.load(mf)
            for name, value in r.items():
                if name in manifest:
                    manifest[name].update(value)
                else:
                    manifest[name] = value
    return manifest

def split_dataset(X, random_state=3, test_size=10000):
    import sklearn.cross_validation

Instances